code: def get_net():
      """Gets a neural network. Better results are obtained with modifications."""
      net = gluon.nn.Sequential()
      net.add(gluon.nn.Dense(50, activation="relu"))
      net.add(gluon.nn.Dense(1))
      net.initialize()
      return net
  
file_path: mxnet/example/gluon/house_prices/kaggle_k_fold_cross_validation.py
imports: import numpy
  import pandas
  from mxnet import autograd
  from mxnet import gluon
  from mxnet import np
label_desc: Use image node_id 2 for calling a global function with example usage: get_net() and returns: net